Towards the characterization of the tumor microenvironment through dictionary learning-based interpretable classification of multiplexed immunofluorescence images

• Published in: Physics in medicine & biology Vol. 68; no. 1; pp. 14002 - 14014
• Main Authors: Krishnan, Santhoshi N, Barua, Souptik, Frankel, Timothy L, Rao, Arvind
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 21.12.2022
• Subjects: Algorithms; cancer informatics; Carcinoma, Non-Small-Cell Lung; dictionary learning; explainability; Fluorescent Antibody Technique; histology image analysis; Humans; immunotherapy; Lung Neoplasms; pancreatic malignancies; spatial analysis; Tumor Microenvironment; histology image analysis; spatial analysis; explainability; pancreatic malignancies; immunotherapy; dictionary learning; cancer informatics

Objective. Histology image analysis is a crucial diagnostic step in staging and treatment planning, especially for cancerous lesions. With the increasing adoption of computational methods for image analysis, significant strides are being made to improve the performance metrics of image segmentation...